Observability Engineer Expert

Pay

$80/hr
The rate in the listing.
?
From the Ethos listing, checked Nov 5.
Last checked
Today
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How Ethos hiring works
Your application is a 10-minute call.
Ethos's AI interviewer asks about your career, then matches you to projects like Observability Engineer. Keep your CV open and cover these:
4+ years as a Site Reliability Engineer, Incident Commander, or production/on-call engineering lead
▍
4+ years as a Site Reliability Engineer, Incident Commander, or production/on-call engineering lead
Direct ownership of writing or reviewing blameless postmortems and root-cause analyses
▍
Direct ownership of writing or reviewing blameless postmortems and root-cause analyses
Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication
▍
Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication
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About this role
From the Ethos listing
About This Opportunity
We're working with a leading foundational AI lab to find experienced observability engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for observability engineers with 4+ years running or reviewing production incidents to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: blameless postmortems and root-cause analyses, on-call runbooks, severity and escalation write-ups, SLO and error-budget reports, remediation action-item trackers, and reliability review decks.

Compensation

$80/hour
Commitment:
Flexible, 5-20 hours per week (or more if desired)
Location:
Fully remote, work on your own schedule
Start date:
ASAP

Qualifications

4+ years as a Site Reliability Engineer, Incident Commander, or production/on-call engineering lead
Direct ownership of writing or reviewing blameless postmortems and root-cause analyses
Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
How long hiring takes
Across the platforms we list, people typically hear back about a hire within

about

25 days
of applying.
Within 2 weeks
~30%
Within 6 weeks
~65%
Within 3 months
~85%
Talent pool
We're light on STEM candidates
We've tracked 992 STEM listings and have few candidates to put forward for them. Set up a profile and we'll consider you for roles like this one.
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Skills and categories
More jobs in these fields:
STEM
No Degree Required
Engineering & Robotics
Coding
Expert
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Common questions
Do I need to keep applying for projects on Ethos?
No. When your profile is live, Ethos matches you to new projects from your career history, so companies find you. Each finished project raises your Expert Score, which brings you better-paid work.
How and when does Ethos pay experts?
Within 30 days of your invoice, after a project closes. Some AI training platforms pay weekly, so plan for the longer wait.
How many hours a week is this Observability Engineer work?
Between 5 and 20 hours a week. At $80/hr that is $400 to $1,600 a week. You set your own hours.
What experience does this Observability Engineer listing ask for?
The listing asks for 4+ years as a Site Reliability Engineer, Incident Commander, or production/on-call engineering lead; direct ownership of writing or reviewing blameless postmortems and root-cause analyses; and expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail. Ethos's interviewer builds your profile from your CV, so have the roles that show this ready to talk through.
What specific skills does this listing call for?
Coding is named directly in the listing. If you don't have hands-on experience with this, expect the screening to test for it.
How much does this specific role pay?
This listing is posted at $80/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform's application page.
What happens when I click Apply on this listing?
The link opens Ethos's sign-up. There is no form for this listing: Ethos's AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. Keep your CV open and cover the experience the Qualifications above ask for.
Who built Ethos and is it legitimate?
Yes. Ethos was founded in London in 2024 by James Lo (McKinsey, SoftBank Vision Fund) and Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev). It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. The link on this page is an affiliate link; it doesn't affect your pay or the projects you're offered.